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StevenCannon-USDA committed Dec 1, 2023
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1 change: 1 addition & 0 deletions Glycine/max/wip_marlene/Cai_Wang_2017.yml
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Expand Up @@ -213,3 +213,4 @@ references:
- citation: Yang, Lan et al., 2022
doi: 10.1111/jipb.13207
pmid: 34962095

16 changes: 8 additions & 8 deletions Glycine/max/wip_wei/Head_Galos_2012_traits.yml
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@@ -1,20 +1,20 @@
---
gene_symbols:
- KASII-A
gene_symbol_long: beta-ketoacyl-ACP synthase II
gene_model_pub_name: Glyma17g05200
gene_symbol_long: beta-ketoacyl-ACP synthase II
gene_model_pub_name: Glyma17g05200
gene_model_full_id: glyma.Wm82.gnm1.ann1.Glyma17g05200
confidence: 3
comments:
- Mutations in the soybean 3-ketoacyl-ACP synthase gene are correlated with high levels of seed palmitic acid
phenotype_synopsis: Palmitic acid levels were significantly higher in the mutants than in the Williams-82 wild type control
traits:
phenotype_synopsis: Palmitic acid levels were significantly higher in the mutants than in the Williams-82 wild type control
traits:
- entity_name: beta-ketoacyl-acyl-carrier-protein synthase II activity
entity: GO:0033817
references:
- citation: Head, Katie, et al., 2012
doi: 10.1007/s11032-012-9707-x
pmid: null
doi: 10.1007/s11032-012-9707-x
pmid: null

---
gene_symbols:
Expand All @@ -23,8 +23,8 @@ gene_symbol_long: plastid 3-keto-acyl-ACP synthase II-B
gene_model_pub_name: Glyma13g17290
gene_model_full_id: glyma.Wm82.gnm1.ann1.Glyma13g17290
confidence: 3
phenotype_synopsis: Palmitic acid levels were significantly higher in the mutants than in the Williams-82 wild type control
traits:
phenotype_synopsis: Palmitic acid levels were significantly higher in the mutants than in the Williams-82 wild type control
traits:
- entity_name: beta-ketoacyl-acyl-carrier-protein synthase II activity
entity: GO:0033817
references:
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@@ -0,0 +1,29 @@
---
gene_symbols:
- SYMRK (in Phaseolus vulgaris, Lotus japonicus, and Arachis hypogaea)
- DMI2 (in Medicago truncatula)
- NORK (in Medicago sativa)
gene_symbol_long: SYMbiosis Receptor-like Kinase
gene_model_pub_name: Phvul.002G143400
gene_model_full_id: phavu.G19833.gnm1.ann1.Phvul.002G143400
confidence: 5
curators:
- Marlene Dorneich-Hayes
comments:
- SYMRK is activated in root hairs by phosphorylation in response to the perception of NOD factors
- SYMRK-EGFP (enhanced green fluorescence protein) is endocytosed from the plasma membrane to intracellular puncta and affects the SYMRK signaling pathway
- SYMRK-suppressed mutants can't form infection threads and therefore can't form functional nodules, though they do form pseudo-nodules lacking symbiotic bacteria and fungi
- SYMRK overexpressing mutants form non-functional nodules without rhizobia
phenotype_synopsis: SYMRK is necessary for nodule organogenesis.
traits:
- entity_name: bioloical process involved in symbiotic interaction
entity: GO:0044403
- entity_name: kinase activity
entity: GO:0016301
- entity_name: positive regulation of receptor-mediated endocytosis
entity: GO:0048260
references:
- citation: Dávila-Delgado, Flores-Canúl, et al., 2023
doi: 10.1007/s00425-023-04116-0
pmid: 36928335

24 changes: 0 additions & 24 deletions Pisum/sativum/wip_scott/Aubry_Mani_2008.yml

This file was deleted.

24 changes: 24 additions & 0 deletions Vigna/radiata/wip_marlene/vigra_Liu_Zhang_2022.yml
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---
gene_symbols:
- CCA1L26
gene_symbol_long: Circadian Clock Assoicated 1 Like 26
gene_model_pub_name: Vradi05g00310
gene_model_full_id: vigra.VC1973A.gnm6.ann1.Vradi05g00310
confidence: 3
curators:
- Marlene Dorneich-Hayes
comments:
- VrCCA1L26 shares homology with AtCCA1, AtLHY, and GmLCL genes.
- In transgenic Arabidopsis, VrCCA1L26 delays flowering time by supressing Constans (CO), Flowering locus T (FT), Supressor of Overexpression of Constans 1 (SOC1), and Timing of Cab Expression 1 (TOC1).
- VrCCA1L26 expression is affected by photoperiod and is supressed by expression of TOC1.
- VrCCA1L26 may play a role in isoflavonoid synthesis, stress response, hypocotyl growth, seed germination, and leaf senescence. This has not been experimentally validated.
phenotype_synopsis: VrCCA1L26 delays flowering time in transgenic Arabidopsis thaliana, but its function in Vigna radiata has not been experimentally validated.
traits:
- entity_name: transcription factor binding
entity: GO:0008134
- entity_name: photoperiod-sensitive flowering time trait
entity: TO:0000934
references:
- citation: Liu, Zhang, et. al., 2022
doi: 10.1186/s12864-022-08620-7
pmid: 35581536
23 changes: 11 additions & 12 deletions templates/Example.yml
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@@ -1,6 +1,6 @@
---
# DIRECTIONS
# As your first curation assignment, read the paper Tang, Su et. al., 2017 (doi: 10.1093/jxb/erw425).
# As your first curation assignment, read the paper Tang, Su et al., 2017 (doi: 10.1093/jxb/erw425).
# Create your own yml file based on the blank and annotated templates below.
# Name your new file "Tang_Su_2012_practice.yml."
# When you are done, compare your yml file to the Answer Key provided below.
Expand Down Expand Up @@ -36,10 +36,10 @@ gene_symbols:
- # If there are multiple names for one gene, enter them on separate lines with the most common name listed first.
- # If more than one gene is described in the same paper, paste another copy of this template at the bottom of your document and fill it in for the second gene.
gene_symbol_long: # The long-hand version of the gene_symbol acronym, e.g. "Nodule Number Control 1" (do not include the prefix Glycine max).
gene_model_pub_name: # REQUIRED; This should be listed in the publication in the format "GlymaXXgXXXXX," e.g. "Glyma12g07800".
# If the paper has no "GlymaXXgXXXXX," try one of the search methods described at the bottom of this document.
gene_model_pub_name: # REQUIRED; This should be listed in the publication, e.g., Glyma02g17170.2, SoyW82_02G152800.1, or Glyma.02G152800, depending on the annotation version.
# If the paper has no gene model name (rather, has a gene symbol plus sequence) try one of the search methods described at the bottom of this document.
gene_model_full_id: # REQUIRED; The gene name in Legume Information System. It looks like "glyma.Wm82.gnm2.ann1.Glyma.12G078000".
# Find it by entering your gene_model_pub_name into the "Identifier" search box on this website: https://jekyll.dev.lis.ncgr.org/tools/search/gene.html
# Find it by entering your gene_model_pub_name into the "Identifier" search box on this website: https://www.legumeinfo.org/tools/search/gene.html
confidence: # A value from 1 to 5 showing how strong the evidence for the gene's function is.
# See the bottom of the document for guidance on assigning a confidence level.
curators:
Expand All @@ -51,7 +51,7 @@ comments:
phenotype_synopsis: # Briefly describe the phenotype, e.g. "NNC1 is a transcription factor that negatively regulates nodule number by repressing GmENOD40."
traits: # REQUIRED; at least one "entity" ontology accession describing the function of the gene. Find ontologies by searching this database: https://www.ebi.ac.uk/ols/ontologies
- entity_name: # The name of the ontology accession, e.g. "nodulation"
entity: # The ontology accession code, e.g. "GO:0009877." Those that begin with "GO" are plant traits.
entity: # The ontology accession code, e.g. "TO:0000898", with "TO" indicating the Trait Ontology
- quality_name: # Optional; quality ontologies can be used to describe properties of the trait, e.g. "premature."
quality: # Quality ontology codes usually begin with "PATO"
- relation_name: # Optional; Relations ontologies can be used to describe the effects of the trait, e.g. "negatively regulates."
Expand All @@ -60,8 +60,7 @@ traits: # REQUIRED; at least one "entity" ontology accession describing the fun
entity: # Code of additional ontology.
# You can add more lines describing the qualities and relations of your additional ontology entities.
references: # REQUIRED; At least one citation with its doi or pmid. Ideally, include several citations.
- citation: # The primary paper you extracted information from. Use the "LastName, LastName et al., YEAR" format, e.g. "Wang, Wang et. al., 2014"
doi: # the bare doi (omit https://doi.org/), e.g. "10.1105/tpc.114.131607," not "https://doi.org/10.1105/tpc.114.131607"
- citation: # The primary paper you extracted information from. Use the "LastName, LastName et al., YEAR" format, e.g. "Wang, Wang et al., 2014" doi: # the bare doi (omit https://doi.org/), e.g. "10.1105/tpc.114.131607," not "https://doi.org/10.1105/tpc.114.131607"
pmid: # Either search for your paper on PubMed, or use the "get_citations.pl" script in a new document to find pmid based on doi (or vice versa!). E.g. "25549672."
- citation: # Additional citation of a paper providing more information.
doi:
Expand Down Expand Up @@ -94,13 +93,13 @@ traits:
- entity_name: starch content
entity: TO:0000696
references:
- citation: Tang, Su et. al., 2017
- citation: Tang, Su et al., 2017
doi: 10.1093/jxb/erw425
pmid: 28204559
- citation: Su, Han et. al., 2018
- citation: Su, Han et al., 2018
doi: 10.3390/ijms19082395
pmid: 30110937
- citation: Zuo, Ikram et. al., 2022
- citation: Zuo, Ikram et al., 2022
doi: 10.1016/j.csbj.2022.06.014
pmid: 35782726
---
Expand Down Expand Up @@ -130,10 +129,10 @@ traits:
- entity_name: starch content
entity: TO:0000696
references:
- citation: Tang, Su et. al., 2017
- citation: Tang, Su et al., 2017
doi: 10.1093/jxb/erw425
pmid: 28204559
- citation: Su, Han et. al., 2018
- citation: Su, Han et al., 2018
doi: 10.3390/ijms19082395
pmid: 30110937
---
Expand Down

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